EP4036931A4 - Training method for specializing artificial intelligence model in institution for deployment, and apparatus for training artificial intelligence model - Google Patents
Training method for specializing artificial intelligence model in institution for deployment, and apparatus for training artificial intelligence model Download PDFInfo
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- EP4036931A4 EP4036931A4 EP20867856.5A EP20867856A EP4036931A4 EP 4036931 A4 EP4036931 A4 EP 4036931A4 EP 20867856 A EP20867856 A EP 20867856A EP 4036931 A4 EP4036931 A4 EP 4036931A4
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- European Patent Office
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- artificial intelligence
- intelligence model
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- specializing
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- 238000013473 artificial intelligence Methods 0.000 title 2
- 238000000034 method Methods 0.000 title 1
Classifications
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H40/00—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
- G16H40/20—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
- G06T7/0012—Biomedical image inspection
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- G—PHYSICS
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- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/20—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
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- G16H30/00—ICT specially adapted for the handling or processing of medical images
- G16H30/20—ICT specially adapted for the handling or processing of medical images for handling medical images, e.g. DICOM, HL7 or PACS
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- G16H10/60—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
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- G—PHYSICS
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- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30004—Biomedical image processing
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- G—PHYSICS
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- G06T2207/30096—Tumor; Lesion
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- G—PHYSICS
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- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
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- G06V2201/00—Indexing scheme relating to image or video recognition or understanding
- G06V2201/03—Recognition of patterns in medical or anatomical images
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y10—TECHNICAL SUBJECTS COVERED BY FORMER USPC
- Y10S—TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y10S128/00—Surgery
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- Y10S128/922—Computer assisted medical diagnostics including image analysis
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y10—TECHNICAL SUBJECTS COVERED BY FORMER USPC
- Y10S—TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y10S128/00—Surgery
- Y10S128/92—Computer assisted medical diagnostics
- Y10S128/923—Computer assisted medical diagnostics by comparison of patient data to other data
- Y10S128/924—Computer assisted medical diagnostics by comparison of patient data to other data using artificial intelligence
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- Engineering & Computer Science (AREA)
- Health & Medical Sciences (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Health & Medical Sciences (AREA)
- Biomedical Technology (AREA)
- Medical Informatics (AREA)
- Data Mining & Analysis (AREA)
- Public Health (AREA)
- General Physics & Mathematics (AREA)
- Software Systems (AREA)
- Computing Systems (AREA)
- General Engineering & Computer Science (AREA)
- Evolutionary Computation (AREA)
- Mathematical Physics (AREA)
- Artificial Intelligence (AREA)
- Life Sciences & Earth Sciences (AREA)
- Computational Linguistics (AREA)
- Biophysics (AREA)
- Molecular Biology (AREA)
- Epidemiology (AREA)
- Primary Health Care (AREA)
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- Pathology (AREA)
- Radiology & Medical Imaging (AREA)
- Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
- Business, Economics & Management (AREA)
- General Business, Economics & Management (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Quality & Reliability (AREA)
- Medical Treatment And Welfare Office Work (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
- Image Analysis (AREA)
Applications Claiming Priority (3)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
KR20190118545 | 2019-09-26 | ||
KR1020200124142A KR102542037B1 (en) | 2019-09-26 | 2020-09-24 | Training method for specializing artificial intelligence model in deployed institution, and apparatus for training the artificial intelligence model |
PCT/KR2020/013027 WO2021060899A1 (en) | 2019-09-26 | 2020-09-25 | Training method for specializing artificial intelligence model in institution for deployment, and apparatus for training artificial intelligence model |
Publications (2)
Publication Number | Publication Date |
---|---|
EP4036931A1 EP4036931A1 (en) | 2022-08-03 |
EP4036931A4 true EP4036931A4 (en) | 2023-09-20 |
Family
ID=75165922
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
EP20867856.5A Pending EP4036931A4 (en) | 2019-09-26 | 2020-09-25 | Training method for specializing artificial intelligence model in institution for deployment, and apparatus for training artificial intelligence model |
Country Status (6)
Country | Link |
---|---|
US (1) | US20220199258A1 (en) |
EP (1) | EP4036931A4 (en) |
JP (2) | JP7406758B2 (en) |
KR (1) | KR20230085125A (en) |
CN (1) | CN114467146A (en) |
WO (1) | WO2021060899A1 (en) |
Families Citing this family (10)
Publication number | Priority date | Publication date | Assignee | Title |
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US11922314B1 (en) * | 2018-11-30 | 2024-03-05 | Ansys, Inc. | Systems and methods for building dynamic reduced order physical models |
KR20210042696A (en) * | 2019-10-10 | 2021-04-20 | 삼성전자주식회사 | Apparatus and method for learning model |
US11568284B2 (en) | 2020-06-26 | 2023-01-31 | Intuit Inc. | System and method for determining a structured representation of a form document utilizing multiple machine learning models |
CN114444558A (en) * | 2020-11-05 | 2022-05-06 | 佳能株式会社 | Training method and training device for neural network for object recognition |
CA3160714C (en) * | 2021-04-30 | 2024-06-11 | Intuit Inc. | Methods and systems for generating mobile enabled extraction models |
US11977842B2 (en) | 2021-04-30 | 2024-05-07 | Intuit Inc. | Methods and systems for generating mobile enabled extraction models |
CN113673254B (en) * | 2021-08-23 | 2022-06-07 | 东北林业大学 | Knowledge distillation position detection method based on similarity maintenance |
CN116963100A (en) * | 2022-04-15 | 2023-10-27 | 维沃移动通信有限公司 | Method, device and equipment for fine tuning of model |
JP2023181643A (en) * | 2022-06-13 | 2023-12-25 | 日立Astemo株式会社 | Machine learning system and machine learning method |
CN114861836B (en) * | 2022-07-05 | 2022-10-28 | 浙江大华技术股份有限公司 | Model deployment method based on artificial intelligence platform and related equipment |
Citations (1)
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US20180314943A1 (en) * | 2017-04-27 | 2018-11-01 | Jianming Liang | Systems, methods, and/or media, for selecting candidates for annotation for use in training a classifier |
Family Cites Families (21)
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CN101295305B (en) | 2007-04-25 | 2012-10-31 | 富士通株式会社 | Image retrieval device |
US8249892B2 (en) * | 2007-06-12 | 2012-08-21 | Bruce Reiner | Method of data mining in medical applications |
US11481411B2 (en) * | 2010-09-01 | 2022-10-25 | Apixio, Inc. | Systems and methods for automated generation classifiers |
WO2016084336A1 (en) | 2014-11-27 | 2016-06-02 | 日本電気株式会社 | Iterative training device, iterative training method, and storage medium |
KR102492318B1 (en) * | 2015-09-18 | 2023-01-26 | 삼성전자주식회사 | Model training method and apparatus, and data recognizing method |
GB201517462D0 (en) * | 2015-10-02 | 2015-11-18 | Tractable Ltd | Semi-automatic labelling of datasets |
JP6509717B2 (en) | 2015-12-09 | 2019-05-08 | 日本電信電話株式会社 | Case selection apparatus, classification apparatus, method, and program |
CN106682435B (en) * | 2016-12-31 | 2021-01-29 | 西安百利信息科技有限公司 | System and method for automatically detecting lesion in medical image through multi-model fusion |
US20180268292A1 (en) * | 2017-03-17 | 2018-09-20 | Nec Laboratories America, Inc. | Learning efficient object detection models with knowledge distillation |
US10769500B2 (en) | 2017-08-31 | 2020-09-08 | Mitsubishi Electric Research Laboratories, Inc. | Localization-aware active learning for object detection |
WO2019051411A1 (en) * | 2017-09-08 | 2019-03-14 | The General Hospital Corporation | Method and systems for analyzing medical image data using machine learning |
WO2019082166A1 (en) * | 2017-10-26 | 2019-05-02 | Uber Technologies, Inc. | Unit-level uncertainty and propagation |
CN108021931A (en) * | 2017-11-20 | 2018-05-11 | 阿里巴巴集团控股有限公司 | A kind of data sample label processing method and device |
EP3714467A4 (en) * | 2017-11-22 | 2021-09-15 | Arterys Inc. | Content based image retrieval for lesion analysis |
KR20190062283A (en) * | 2017-11-28 | 2019-06-05 | 한국전자통신연구원 | Method and apparatus for traning of generative adversarial network using selective loss function |
WO2019150813A1 (en) | 2018-01-30 | 2019-08-08 | 富士フイルム株式会社 | Data processing device and method, recognition device, learning data storage device, machine learning device, and program |
US10794609B2 (en) | 2018-02-05 | 2020-10-06 | Mitsubishi Electric Research Laboratories, Inc. | Methods and systems for personalized heating, ventilation, and air conditioning |
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CN109711544A (en) * | 2018-12-04 | 2019-05-03 | 北京市商汤科技开发有限公司 | Method, apparatus, electronic equipment and the computer storage medium of model compression |
KR20190106861A (en) * | 2019-08-27 | 2019-09-18 | 엘지전자 주식회사 | Artificial intelligence apparatus, artificial intelligence server and method for generating training data |
-
2020
- 2020-09-25 WO PCT/KR2020/013027 patent/WO2021060899A1/en unknown
- 2020-09-25 CN CN202080067704.4A patent/CN114467146A/en active Pending
- 2020-09-25 EP EP20867856.5A patent/EP4036931A4/en active Pending
- 2020-09-25 JP JP2022519274A patent/JP7406758B2/en active Active
-
2022
- 2022-03-08 US US17/689,196 patent/US20220199258A1/en active Pending
-
2023
- 2023-06-05 KR KR1020230072404A patent/KR20230085125A/en active Application Filing
- 2023-12-07 JP JP2023207111A patent/JP2024019441A/en active Pending
Patent Citations (1)
Publication number | Priority date | Publication date | Assignee | Title |
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US20180314943A1 (en) * | 2017-04-27 | 2018-11-01 | Jianming Liang | Systems, methods, and/or media, for selecting candidates for annotation for use in training a classifier |
Non-Patent Citations (5)
Title |
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BERKMAN SAHINER ET AL: "Deep learning in medical imaging and radiation therapy", MEDICAL PHYSICS., vol. 46, no. 1, 20 November 2018 (2018-11-20), US, pages e1 - e36, XP055698991, ISSN: 0094-2405, DOI: 10.1002/mp.13264 * |
LIN YANG ET AL: "Suggestive Annotation: A Deep Active Learning Framework for Biomedical Image Segmentation", ARXIV.ORG, CORNELL UNIVERSITY LIBRARY, 201 OLIN LIBRARY CORNELL UNIVERSITY ITHACA, NY 14853, 15 June 2017 (2017-06-15), XP080770025, DOI: 10.1007/978-3-319-66179-7_46 * |
OZDEMIR FIRAT ET AL: "Extending pretrained segmentation networks with additional anatomical structures", INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY, SPRINGER, DE, vol. 14, no. 7, 2 May 2019 (2019-05-02), pages 1187 - 1195, XP036808231, ISSN: 1861-6410, [retrieved on 20190502], DOI: 10.1007/S11548-019-01984-4 * |
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ZHOU ZONGWEI ET AL: "Fine-Tuning Convolutional Neural Networks for Biomedical Image Analysis: Actively and Incrementally", 2017 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR), IEEE COMPUTER SOCIETY, US, 21 July 2017 (2017-07-21), pages 4761 - 4772, XP033249832, ISSN: 1063-6919, [retrieved on 20171106], DOI: 10.1109/CVPR.2017.506 * |
Also Published As
Publication number | Publication date |
---|---|
EP4036931A1 (en) | 2022-08-03 |
JP2022550094A (en) | 2022-11-30 |
JP2024019441A (en) | 2024-02-09 |
US20220199258A1 (en) | 2022-06-23 |
WO2021060899A1 (en) | 2021-04-01 |
KR20230085125A (en) | 2023-06-13 |
CN114467146A (en) | 2022-05-10 |
JP7406758B2 (en) | 2023-12-28 |
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